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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 16751
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    Explanations

    items or objects, especially tangible things

    oai_token-act-pair · gpt-3.5-turbo

    items or concepts that are part of a list

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    é¾įå¥ij士
    -0.92
    erest
    -0.82
     furthe
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    plementation
    -0.70
    iscal
    -0.70
    autions
    -0.68
    imilation
    -0.68
    linger
    -0.68
    idates
    -0.67
    haps
    -0.67
    POSITIVE LOGITS
     jewelry
    0.88
     horses
    0.88
     automobiles
    0.84
     weaponry
    0.83
     bicycles
    0.83
     mounts
    0.82
     fists
    0.82
     toys
    0.82
     props
    0.81
     artwork
    0.80
    Activations Density 0.288%

    No Known Activations